About the role
This role goes beyond infrastructure management; you will build systems that make deployment, observability, scaling, and incident response increasingly automated and self-service for product teams.
A key part of this role is supporting our AI-native engineering strategy: enabling the tools, environments, and workflows that allow our engineers to work effectively with AI coding assistants and agentic workflows at scale.
OUR STACK:
- Cloud: AWS
- Compute: ECS Fargate, Lambda, Event-Driven Services
- Infrastructure as Code: Terraform
- Languages: Python, TypeScript, Bash
- Datastores: Aurora Postgres, DynamoDB, Redis (Elasticache), OpenSearch
- Streaming & Queues: Kinesis, SQS, BullMQ
- CI/CD: GitHub Actions (Enterprise)
- Observability: Datadog, AWS CloudWatch
- Architecture: Containerized APIs, Serverless Processing, Distributed Systems
- AI Infrastructure: SageMaker and/or self-hosted model serving systems
Aplyr's read
Regal is a tech innovator focused on digital experience optimization, attracting talent in AI, product management, and customer strategy.
What's promising
- •Regal is at the forefront of AI-driven digital experience management.
- •The company offers diverse roles, from AI research to customer support.
- •Regal's focus on innovation attracts top-tier tech talent.
What to watch
- •Limited public information about Regal's financial performance.
- •Potentially high competition in the digital experience optimization sector.
- •Rapid tech advancements may require constant skill updates.
Why Regal
- •Regal specializes in optimizing digital experiences with cutting-edge AI solutions.
- •The company hires for niche roles like AI Forward Deployed Engineer.
- •Regal's team includes experts in voice AI and customer strategy.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Regal
Regal is a technology company that specializes in providing innovative solutions for managing and optimizing digital experiences.